Caleb C. Reagor

The paper shows Notch signaling drives asymmetry in zebrafish hair cells through a kinase-dependent mechanism, revealing a chiral bias in cell-pair rotations.

The paper integrates single-cell, spatial, and clonal data to study cranial placode development and evolution, revealing continuous transcriptional landscapes and shared progenitors between placodes.

The paper identifies ybx1 as a key regulator promoting rapid hair cell regeneration in zebrafish lateral-line neuromasts by upregulating atoh1a, using the DELAY algorithm to infer gene regulatory networks.

The paper uses optogenetic stimulation and calcium imaging in zebrafish to study how sensory inputs from neuromasts are processed in the brain, revealing nonlinear integration and sparse neuronal representations.

This study identifies Sema7A as a key regulator of neural circuit patterning in zebrafish lateral line by analyzing axonal arborization in wild-type and mutant models.

The paper constructs a single-cell chromatin accessibility atlas of the human first trimester brain, identifies regulatory elements linked to gene expression, and links disease SNPs to potential pathogenic mechanisms.

This paper introduces DELAY, a deep learning method for inferring gene-regulatory networks from single-cell data, showing improved performance over existing methods in identifying causal relationships.

The paper shows that Pseudomonas aeruginosa uses integrated diffusive cues to stabilize cooperative swarming behavior against cheating.